Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers
Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers explores A novel hybrid transformer architecture that dynamically routes computation between full and sliding window attention for efficient long-context language modeling.. Commercial viability score: 7/10 in LLM Architecture.
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